ArticleCell2024
CSF proteomics identifies early changes in autosomal dominant Alzheimer's disease.
Article in Cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
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Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-omics and high-spatial-resolution omics: deciphering complexity in neurological disorders.GigaScience · 2025Pooled it
- Exploratory bidirectional Mendelian randomisation analysis of cerebrospinal fluid metabolites associated with cerebral palsy and epilepsy.BMJ paediatrics open · 2026Article
- Deciphering the rules of regulated cell death subroutines by in silico methods.Journal of advanced research · 2026Review
- Epigenetic aging in Alzheimer's disease: Relation to proteome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Proteomic comparison of human neural cell-derived extracellular vesicles and parental cells from Alzheimer's disease and cognitively normal individuals.Science China. Life sciences · 2026Article
- Article
- Glycolysis: The Bridge Between Cellular Interaction and Alzheimer's Disease.Biomolecules · 2026Review
- A plasma protein signature for cerebral amyloid angiopathy.Acta neuropathologica · 2026Article
- hUCMSC mitochondrial EVs confer neuroprotection after ischemia by Tom1l2-mediated mitochondrial fusion and Crls1-cardiolipin axis reprogramming.Redox biology · 2026Article
- GPND-AI NULISA: A 15-Protein AI classifier for diagnosis and co-pathology profiling across neurodegenerative diseases.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Engulfment by brain macrophages in a short-lived vertebrate.bioRxiv : the preprint server for biology · 2026Article
- Reproducibility-driven discovery and systematic benchmarking reveal a robust cerebrospinal fluid proteomic signature in Alzheimer's disease.medRxiv : the preprint server for health sciences · 2026Article
- Aging-related matrix metallopeptidase 10 and osteopontin levels are associated with pathology, cognitive decline, and age at onset in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Abnormalities in core AD biomarkers precede inflammatory and glial markers in CSF in Autosomal Dominant Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2026Article
- APOE-stratified Proteomic and Metabolomic Analysis Reveals Mitochondrial Dysfunction Inflammation and Lipid Dysregulation in Alzheimer's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Understanding Neurodegenerative Diseases From the -Omics Perspective: Lessons Learnt.Annals of neurology · 2026Review
- Lipidome and proteome of astrocyte and microglia ApoE lipoprotein reveal differences based on cell type and ApoE isoform.Journal of lipid research · 2026Article
- Hypothalamic malate dehydrogenase 2 modulates systemic glucose metabolism through oxytocin-mediated thermogenesis.Cell reports. Medicine · 2026Article
- Integrated Structural and Glycoproteomic Profiling Reveals Protein Conformational Remodeling and Biomarkers Across Alzheimer's Disease Progression.ACS central science · 2026Article
- CSF proteomic profiling with amyloid and tau pathology identifies distinctive sex-specific alteration of multiple proteins involved in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
Corrections and comments
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Authors and funding
42 authors.
Funding
Abstract
In this high-throughput proteomic study of autosomal dominant Alzheimer's disease (ADAD), we sought to identify early biomarkers in cerebrospinal fluid (CSF) for disease monitoring and treatment strategies. We examined CSF proteins in 286 mutation carriers (MCs) and 177 non-carriers (NCs). The developed multi-layer regression model distinguished proteins with different pseudo-trajectories between these groups. We validated our findings with independent ADAD as well as sporadic AD datasets and employed machine learning to develop and validate predictive models. Our study identified 137 proteins with distinct trajectories between MCs and NCs, including eight that changed before traditional AD biomarkers. These proteins are grouped into three stages: early stage (stress response, glutamate metabolism, neuron mitochondrial damage), middle stage (neuronal death, apoptosis), and late presymptomatic stage (microglial changes, cell communication). The predictive model revealed a six-protein subset that more effectively differentiated MCs from NCs, compared with conventional biomarkers.
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Registered trials
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